News

International experts convened for TRR 318’s first conference, “Explaining Machines,” delivering talks on the social-science research on Explainable Artificial Intelligence.

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In the workshop on teachable machines organized by the TRR 318 subproject "Öffentlichkeitsarbeit", people interested can explore AI for themselves. The workshop takes place as a part of the event series "50 Mosaics" of Paderborn University.

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The first issue of the new TRR 318 newsletter, “Developing Explanations Together”, has now been released, focusing on the many studies and workshops that have been launched in the individual subprojects.

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The first TRR 318 Conference „Explaining Machines“ takes place on June 23 and 24 at the CITEC-Building of Bielefeld University. The key subject of this first edition of the conference is the social science research on explanatory AI.

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Im TRR 318 wird erforscht, wie KI begreifbarer gestaltet werden kann. Die Wissenschaftler*innen beziehen dafür in Studien Nutzer*innen von KI ein.

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The registration for the first international conference on "Explaining Machines" organized by TRR 318 is now open. Participants have the opportunity to discuss central questions of AI research with international and renowned guests.

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The first public lecture organized by TRR 318 was attended by Transregio scientists and about 40 guests from universities, schools, political parties and associations, among others.

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TRR 318 can now be found on Twitter under the username @trr_318. Here, visitors can get information on what’s been going on at Transregio.

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Touch, explore and manipulate: Around 15 students from the 11th grade at ESG Gütersloh attended the first workshop on artificial intelligence (AI) from TRR 318 at the University of Paderborn last Friday.

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The special issue 03/2022 of the Journal of Artificial Intelligence published by Springer Verlag is dedicated to current research developments in explainable artificial intelligence (XAI).

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The press releases of the University of Paderborn on the start of TRR 318 "Constructing Explainability".

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